AI Ops Engineer - Professional Services

Summary

Agiloft is a global leader in data-first contract lifecycle management software, providing AI-enabled, flexible agreement management and integration solutions. The AI Ops Engineer will build governed AI workflows, agentic solutions, and automations for Professional Services, while advising leadership, coaching AI builders, improving implementation efficiency, and driving AI adoption.

Responsibilities

• Design, build, and maintain AI-powered workflows, automations, and tooling that improve Professional Services delivery
• Develop agentic workflows, prompt-based tools, and lightweight AI applications using approved platforms
• Translate delivery challenges into prioritized AI solutions in partnership with PS leadership
• Coach and collaborate with PS AI Builders to improve AI delivery maturity
• Monitor, test, document, and continuously improve deployed AI solutions
• Build automation that reduces manual Agiloft configuration, testing, and validation effort
• Evaluate emerging AI technologies and recommend adoption through AI Operations governance
• Develop and deliver training programs to drive AI adoption across the Professional Services organization
• Provide 1:1 coaching and hands-on support to PS personnel to accelerate AI adoption, reinforce best practices, and address project-specific needs
• Help define the AI roadmap for Professional Services
• Serve as the primary AI advisor for PS delivery methodology and tooling
• Represent Professional Services in cross-functional AI initiatives
• Share reusable patterns and best practices across the organization
• Ensure all AI solutions comply with AI Builders Program standards and governance policies
• Register solutions in the AI Build Registry and follow established intake processes
• Partner with AI Operations and the Principal Data & Integrations Architect on architecture, data, and platform alignment
• Communicate project status, risks, and opportunities with PS leadership and AI Operations
• Other duties as assigned

Skills

• • Bachelor's degree in Computer Science, Information Systems, or equivalent experience
• • 2–4 years building AI, automation, or technical implementation solutions
• • Strong Python skills for automation, APIs, and AI workflows
• • Experience building agentic workflows using LLM frameworks (LangGraph, LangChain, Mastra, n8n, Tines, or similar)
• • Experience with AI-assisted development tools (Claude Code, OpenAI Codex, or similar)
• • Knowledge of RAG, embeddings, vector databases, prompt engineering, tool use, and agent memory
• • Ability to independently design, build, and iterate AI solutions
• • Experience working across technical and business stakeholders
• • Strong documentation and governance discipline
• • SaaS industry experience required
• • Passion for applying AI to solve real business problems
• • Professional Services or enterprise software implementation experience
• • Experience with highly configurable low-code/no-code platforms
• • Familiarity with CLM, LegalTech, or enterprise B2B SaaS
• • Experience in private equity-backed SaaS companies
• • Knowledge of enterprise AI governance
• • Experience working with centralized AI organizations
• • Familiarity with Lovable, Retool, or similar low-code platforms
• • Experience using Snowflake or comparable cloud data platforms
• • Interest in AI-driven transformation of Professional Services delivery

Qualifications

Must Haves

• • Bachelor's degree in Computer Science, Information Systems, or equivalent experience
• • 2–4 years building AI, automation, or technical implementation solutions
• • Strong Python skills for automation, APIs, and AI workflows
• • Experience building agentic workflows using LLM frameworks (LangGraph, LangChain, Mastra, n8n, Tines, or similar)
• • Experience with AI-assisted development tools (Claude Code, OpenAI Codex, or similar)
• • Knowledge of RAG, embeddings, vector databases, prompt engineering, tool use, and agent memory
• • Ability to independently design, build, and iterate AI solutions
• • Experience working across technical and business stakeholders
• • Strong documentation and governance discipline
• • SaaS industry experience required
• • Passion for applying AI to solve real business problems

Nice to Haves

• • Professional Services or enterprise software implementation experience
• • Experience with highly configurable low-code/no-code platforms
• • Familiarity with CLM, LegalTech, or enterprise B2B SaaS
• • Experience in private equity-backed SaaS companies
• • Knowledge of enterprise AI governance
• • Experience working with centralized AI organizations
• • Familiarity with Lovable, Retool, or similar low-code platforms
• • Experience using Snowflake or comparable cloud data platforms
• • Interest in AI-driven transformation of Professional Services delivery

Benefits

• This is a fully remote opportunity.
• We support multiple Employee Resource Groups (ERGs).
• Floating holidays
• A quarterly, no-questions-asked wellness day
• Medical, dental, and vision insurance for US employees
• Short term and long-term disability for US employees
• Life insurance and AD&D for US employees
• Supplemental life insurance (Employee/Spouse/Child) for US employees
• Health care and dependent care Flexible Spending Accounts for US employees
• 401(k) with company match for US employees
• Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non- overtime eligible) position.
• Paid parental leave for US employees
• Voluntary benefits including pet insurance for US employees